Version 0.9.6

A

• absolute: numpy.core.ma.absolute
• add: numpy.core.ma.add
• add_newdoc(): numpy.lib.function_base.add_newdoc
• alen(): numpy.core.oldnumeric.alen
• all(): numpy.core.oldnumeric.all
• allclose(): numpy.core.ma.allclose
• allclose(): numpy.core.numeric.allclose
• allequal(): numpy.core.ma.allequal
• allpath(): numpy.distutils.misc_util.allpath
• alltrue: numpy.core.ma.alltrue
• alltrue(): numpy.core.oldnumeric.alltrue
• allTypes: numpy.core.numerictypes.allTypes
• all_strings(): numpy.distutils.misc_util.all_strings
• amax(): numpy.core.oldnumeric.amax
• amin(): numpy.core.oldnumeric.amin
• analyzeargs(): numpy.f2py.crackfortran.analyzeargs
• analyzeargs_re_1: numpy.f2py.crackfortran.analyzeargs_re_1
• analyzebody(): numpy.f2py.crackfortran.analyzebody
• analyzecommon(): numpy.f2py.crackfortran.analyzecommon
• analyzeline(): numpy.f2py.crackfortran.analyzeline
• analyzevars(): numpy.f2py.crackfortran.analyzevars
• angle(): numpy.lib.function_base.angle
• any(): numpy.core.oldnumeric.any
• appenddecl(): numpy.f2py.crackfortran.appenddecl
• appendmultiline(): numpy.f2py.crackfortran.appendmultiline
• appendpath(): numpy.distutils.misc_util.appendpath
• append_needs(): numpy.f2py.cfuncs.append_needs
• applyrules(): numpy.f2py.auxfuncs.applyrules
• apply_along_axis(): numpy.lib.shape_base.apply_along_axis
• apply_over_axes(): numpy.lib.shape_base.apply_over_axes
• arange: numpy.core.ma.arange
• arange: numpy.core.numeric.arange
• arccos: numpy.core.ma.arccos
• arccos(): numpy.lib.scimath.arccos
• arccosh: numpy.core.ma.arccosh
• arcsin: numpy.core.ma.arcsin
• arcsin(): numpy.lib.scimath.arcsin
• arcsinh: numpy.core.ma.arcsinh
• arctan: numpy.core.ma.arctan
• arctan2: numpy.core.ma.arctan2
• arctanh: numpy.core.ma.arctanh
• arctanh(): numpy.lib.scimath.arctanh
• argmax(): numpy.core.ma.argmax
• argmax(): numpy.core.oldnumeric.argmax
• argmin(): numpy.core.ma.argmin
• argmin(): numpy.core.oldnumeric.argmin
• argsort(): numpy.core.ma.argsort
• argsort(): numpy.core.oldnumeric.argsort
• arg_rules: numpy.f2py.rules.arg_rules
• around: numpy.core.ma.around
• around: numpy.core.oldnumeric.around
• array(): numpy.core.defchararray.array
• array: numpy.core.ma.array
• array: numpy.core.numeric.array
• array(): numpy.core.records.array
• array2string(): numpy.core.arrayprint.array2string
• arrayrange(): numpy.core.ma.arrayrange
• arrayrange: numpy.core.oldnumeric.arrayrange
• arraytype: numpy.core.oldnumeric.arraytype
• ArrayType: numpy.core.oldnumeric.ArrayType
• array_kind: numpy.lib.type_check.array_kind
• array_precision: numpy.lib.type_check.array_precision
• array_repr(): numpy.core.numeric.array_repr
• array_split(): numpy.lib.shape_base.array_split
• array_str(): numpy.core.numeric.array_str
• array_type: numpy.lib.type_check.array_type
• asanyarray(): numpy.core.numeric.asanyarray
• asarray(): numpy.core.defchararray.asarray
• asarray(): numpy.core.ma.asarray
• asarray(): numpy.core.numeric.asarray
• asarray_chkfinite(): numpy.lib.function_base.asarray_chkfinite
• asfarray(): numpy.lib.type_check.asfarray
• asmatrix(): numpy.core.defmatrix.asmatrix
• asscalar(): numpy.lib.type_check.asscalar
• assert_almost_equal(): numpy.testing.utils.assert_almost_equal
• assert_approx_equal(): numpy.testing.utils.assert_approx_equal
• assert_array_almost_equal(): numpy.testing.utils.assert_array_almost_equal
• assert_array_equal(): numpy.testing.utils.assert_array_equal
• assert_array_less(): numpy.testing.utils.assert_array_less
• assert_equal(): numpy.testing.utils.assert_equal
• assubr(): numpy.f2py.func2subr.assubr
• as_list(): numpy.distutils.misc_util.as_list
• atlas_blas_info: numpy.distutils.__config__.atlas_blas_info
• atlas_blas_info: numpy.__config__.atlas_blas_info
• atlas_blas_threads_info: numpy.distutils.__config__.atlas_blas_threads_info
• atlas_blas_threads_info: numpy.__config__.atlas_blas_threads_info
• atlas_info: numpy.distutils.__config__.atlas_info
• atlas_info: numpy.__config__.atlas_info
• atlas_threads_info: numpy.distutils.__config__.atlas_threads_info
• atlas_threads_info: numpy.__config__.atlas_threads_info
• atlas_version_c_text: numpy.distutils.system_info.atlas_version_c_text
• atleast_1d(): numpy.lib.shape_base.atleast_1d
• atleast_2d(): numpy.lib.shape_base.atleast_2d
• atleast_3d(): numpy.lib.shape_base.atleast_3d
• aux_rules: numpy.f2py.rules.aux_rules
• average(): numpy.core.ma.average
• average(): numpy.lib.function_base.average

B

• badnames: numpy.f2py.crackfortran.badnames
• bartlett(): numpy.lib.function_base.bartlett
• base_repr(): numpy.core.numeric.base_repr
• beforethisafter: numpy.f2py.crackfortran.beforethisafter
• beginpattern77: numpy.f2py.crackfortran.beginpattern77
• beginpattern90: numpy.f2py.crackfortran.beginpattern90
• binary_repr(): numpy.core.numeric.binary_repr
• bitname(): numpy.core.numerictypes.bitname
• bitwise_and: numpy.core.ma.bitwise_and
• bitwise_or: numpy.core.ma.bitwise_or
• bitwise_xor: numpy.core.ma.bitwise_xor
• blackman(): numpy.lib.function_base.blackman
• blas_mkl_info: numpy.distutils.__config__.blas_mkl_info
• blas_mkl_info: numpy.__config__.blas_mkl_info
• blas_opt_info: numpy.distutils.__config__.blas_opt_info
• blas_opt_info: numpy.__config__.blas_opt_info
• bmat(): numpy.core.defmatrix.bmat
• Bool: numpy.core.oldnumeric.Bool
• broadcast: numpy.core.numeric.broadcast
• buildapi(): numpy.f2py.rules.buildapi
• buildcallback(): numpy.f2py.cb_rules.buildcallback
• buildcallbacks(): numpy.f2py.cb_rules.buildcallbacks
• buildcfuncs(): numpy.f2py.cfuncs.buildcfuncs
• buildhooks(): numpy.f2py.common_rules.buildhooks
• buildhooks(): numpy.f2py.f90mod_rules.buildhooks
• buildimplicitrules(): numpy.f2py.crackfortran.buildimplicitrules
• buildmodule(): numpy.f2py.rules.buildmodule
• buildmodules(): numpy.f2py.f2py2e.buildmodules
• buildusevar(): numpy.f2py.use_rules.buildusevar
• buildusevars(): numpy.f2py.use_rules.buildusevars
• build_import_library(): numpy.distutils.mingw32ccompiler.build_import_library

C

• c2buildvalue_map: numpy.f2py.capi_maps.c2buildvalue_map
• c2capi_map: numpy.f2py.capi_maps.c2capi_map
• c2pycode_map: numpy.f2py.capi_maps.c2pycode_map
• c2py_map: numpy.f2py.capi_maps.c2py_map
• callbacks: numpy.f2py.cfuncs.callbacks
• callcrackfortran(): numpy.f2py.f2py2e.callcrackfortran
• callfunpattern: numpy.f2py.crackfortran.callfunpattern
• callnameargspattern: numpy.f2py.crackfortran.callnameargspattern
• callpattern: numpy.f2py.crackfortran.callpattern
• can_cast: numpy.core.numeric.can_cast
• cast: numpy.core.numerictypes.cast
• cb_arg_rules: numpy.f2py.cb_rules.cb_arg_rules
• cb_map: numpy.f2py.cb_rules.cb_map
• cb_routine_rules: numpy.f2py.cb_rules.cb_routine_rules
• cb_routsign2map(): numpy.f2py.capi_maps.cb_routsign2map
• cb_rout_rules: numpy.f2py.cb_rules.cb_rout_rules
• cb_sign2map(): numpy.f2py.capi_maps.cb_sign2map
• CCompiler_compile(): numpy.distutils.ccompiler.CCompiler_compile
• CCompiler_customize(): numpy.distutils.ccompiler.CCompiler_customize
• CCompiler_customize_cmd(): numpy.distutils.ccompiler.CCompiler_customize_cmd
• CCompiler_get_version(): numpy.distutils.ccompiler.CCompiler_get_version
• CCompiler_object_filenames(): numpy.distutils.ccompiler.CCompiler_object_filenames
• CCompiler_show_customization(): numpy.distutils.ccompiler.CCompiler_show_customization
• CCompiler_spawn(): numpy.distutils.ccompiler.CCompiler_spawn
• ceil: numpy.core.ma.ceil
• cformat_map: numpy.f2py.capi_maps.cformat_map
• cfuncs: numpy.f2py.cfuncs.cfuncs
• changeimports(): numpy.lib.convertcode.changeimports
• Character: numpy.core.oldnumeric.Character
• charselector: numpy.f2py.crackfortran.charselector
• check_rules: numpy.f2py.rules.check_rules
• cholesky: numpy.dual.cholesky
• cholesky: numpy.linalg.linalg.cholesky
• cholesky_decomposition(): numpy.linalg.linalg.cholesky_decomposition
• choose(): numpy.core.ma.choose
• choose(): numpy.core.oldnumeric.choose
• clip(): numpy.core.oldnumeric.clip
• cmdline(): numpy.f2py.f2py_testing.cmdline
• column_stack(): numpy.lib.shape_base.column_stack
• combine_paths(): numpy.distutils.system_info.combine_paths
• command_line_ok(): numpy.distutils.misc_util.command_line_ok
• common2fortran(): numpy.f2py.crackfortran.common2fortran
• commonhooks: numpy.f2py.cfuncs.commonhooks
• commonpattern: numpy.f2py.crackfortran.commonpattern
• common_fill_value(): numpy.core.ma.common_fill_value
• common_sign2map(): numpy.f2py.capi_maps.common_sign2map
• common_type(): numpy.lib.type_check.common_type
• compile(): numpy.f2py.compile
• Complex: numpy.core.oldnumeric.Complex
• Complex0: numpy.core.oldnumeric.Complex0
• Complex16: numpy.core.oldnumeric.Complex16
• Complex32: numpy.core.oldnumeric.Complex32
• Complex64: numpy.core.oldnumeric.Complex64
• Complex8: numpy.core.oldnumeric.Complex8
• compress(): numpy.core.ma.compress
• compress(): numpy.core.oldnumeric.compress
• concatenate(): numpy.core.ma.concatenate
• concatenate: numpy.core.numeric.concatenate
• configuration(): numpy.core.setup.configuration
• configuration(): numpy.dft.setup.configuration
• configuration(): numpy.distutils.setup.configuration
• configuration(): numpy.f2py.setup.configuration
• configuration(): numpy.lib.setup.configuration
• configuration(): numpy.linalg.setup.configuration
• configuration(): numpy.random.setup.configuration
• configuration(): numpy.setup.configuration
• configuration(): numpy.testing.setup.configuration
• conjugate: numpy.core.ma.conjugate
• containscommon(): numpy.f2py.auxfuncs.containscommon
• containsmodule(): numpy.f2py.auxfuncs.containsmodule
• containspattern: numpy.f2py.crackfortran.containspattern
• conv(): numpy.distutils.conv_template.conv
• conv(): numpy.distutils.from_template.conv
• convertall(): numpy.lib.convertcode.convertall
• convertfile(): numpy.lib.convertcode.convertfile
• convolve(): numpy.core.numeric.convolve
• copy(): numpy.lib.function_base.copy
• corrcoef(): numpy.lib.function_base.corrcoef
• correlate(): numpy.core.numeric.correlate
• cos: numpy.core.ma.cos
• cosh: numpy.core.ma.cosh
• count(): numpy.core.ma.count
• cov(): numpy.lib.function_base.cov
• cppmacros: numpy.f2py.cfuncs.cppmacros
• cpu: numpy.distutils.cpuinfo.cpu
• crack2fortran(): numpy.f2py.crackfortran.crack2fortran
• crack2fortrangen(): numpy.f2py.crackfortran.crack2fortrangen
• crackfortran(): numpy.f2py.crackfortran.crackfortran
• crackline(): numpy.f2py.crackfortran.crackline
• crackline_re_1: numpy.f2py.crackfortran.crackline_re_1
• cracktypespec(): numpy.f2py.crackfortran.cracktypespec
• cracktypespec0(): numpy.f2py.crackfortran.cracktypespec0
• createfuncwrapper(): numpy.f2py.func2subr.createfuncwrapper
• cross(): numpy.core.numeric.cross
• cross_correlate: numpy.core.oldnumeric.cross_correlate
• cumprod(): numpy.core.oldnumeric.cumprod
• cumproduct(): numpy.core.oldnumeric.cumproduct
• cumsum(): numpy.core.oldnumeric.cumsum
• currentfilename: numpy.f2py.crackfortran.currentfilename
• cxx_ext_match: numpy.distutils.misc_util.cxx_ext_match
• cxx_ext_re: numpy.distutils.extension.cxx_ext_re
• cyg2win32(): numpy.distutils.misc_util.cyg2win32
• c_: numpy.lib.index_tricks.c_
• c_template: numpy.core.generate_array_api.c_template

D

• datapattern: numpy.f2py.crackfortran.datapattern
• DATA_RE: numpy.distutils.lib2def.DATA_RE
• debug: numpy.f2py.crackfortran.debug
• DEBUG: numpy.testing.numpytest.DEBUG
• debugcapi(): numpy.f2py.auxfuncs.debugcapi
• debugoptions: numpy.f2py.auxfuncs.debugoptions
• defaultimplicitrules: numpy.f2py.crackfortran.defaultimplicitrules
• default_character_fill_value: numpy.core.ma.default_character_fill_value
• default_complex_fill_value: numpy.core.ma.default_complex_fill_value
• default_config_dict(): numpy.distutils.misc_util.default_config_dict
• default_fill_value(): numpy.core.ma.default_fill_value
• default_include_dirs: numpy.distutils.system_info.default_include_dirs
• default_integer_fill_value: numpy.core.ma.default_integer_fill_value
• default_lib_dirs: numpy.distutils.system_info.default_lib_dirs
• DEFAULT_NM: numpy.distutils.lib2def.DEFAULT_NM
• default_object_fill_value: numpy.core.ma.default_object_fill_value
• default_real_fill_value: numpy.core.ma.default_real_fill_value
• default_src_dirs: numpy.distutils.system_info.default_src_dirs
• defmod_rules: numpy.f2py.rules.defmod_rules
• DEF_HEADER: numpy.distutils.lib2def.DEF_HEADER
• depargs: numpy.f2py.capi_maps.depargs
• depends: numpy.core.info.depends
• depends: numpy.dft.info.depends
• depends: numpy.lib.info.depends
• depends: numpy.linalg.info.depends
• depends: numpy.random.info.depends
• det: numpy.dual.det
• det: numpy.linalg.linalg.det
• determinant(): numpy.linalg.linalg.determinant
• determineexprtype(): numpy.f2py.crackfortran.determineexprtype
• determineexprtype_re_1: numpy.f2py.crackfortran.determineexprtype_re_1
• determineexprtype_re_2: numpy.f2py.crackfortran.determineexprtype_re_2
• determineexprtype_re_3: numpy.f2py.crackfortran.determineexprtype_re_3
• determineexprtype_re_4: numpy.f2py.crackfortran.determineexprtype_re_4
• determineexprtype_re_5: numpy.f2py.crackfortran.determineexprtype_re_5
• diag(): numpy.lib.twodim_base.diag
• diagonal(): numpy.core.ma.diagonal
• diagonal(): numpy.core.oldnumeric.diagonal
• dictappend(): numpy.f2py.auxfuncs.dictappend
• dict_append(): numpy.distutils.misc_util.dict_append
• dict_append(): numpy.distutils.system_info.dict_append
• dict_append(): numpy.f2py.f2py2e.dict_append
• diff(): numpy.lib.function_base.diff
• dimensionpattern: numpy.f2py.crackfortran.dimensionpattern
• disp(): numpy.lib.function_base.disp
• distutils_all: numpy.distutils.command.distutils_all
• divide: numpy.core.ma.divide
• divide_tolerance: numpy.core.ma.divide_tolerance
• dolowercase: numpy.f2py.crackfortran.dolowercase
• dos2unix(): numpy.distutils.line_endings.dos2unix
• dos2unix_dir(): numpy.distutils.line_endings.dos2unix_dir
• dos2unix_one_dir(): numpy.distutils.line_endings.dos2unix_one_dir
• dot(): numpy.core.ma.dot
• dot: numpy.core.numeric.dot
• dot_join(): numpy.distutils.misc_util.dot_join
• dsplit(): numpy.lib.shape_base.dsplit
• dstack(): numpy.lib.shape_base.dstack
• dtype: numpy.core.numeric.dtype
• dtypedescr: numpy.core.memmap.dtypedescr
• dummy_fortran_file(): numpy.distutils.fcompiler.dummy_fortran_file

E

• ediff1d(): numpy.lib.arraysetops.ediff1d
• eig: numpy.dual.eig
• eig(): numpy.linalg.linalg.eig
• eigenvalues(): numpy.linalg.linalg.eigenvalues
• eigenvectors(): numpy.linalg.linalg.eigenvectors
• eigh(): numpy.linalg.linalg.eigh
• eigvals: numpy.dual.eigvals
• eigvals: numpy.lib.polynomial.eigvals
• eigvals: numpy.linalg.linalg.eigvals
• eigvalsh: numpy.linalg.linalg.eigvalsh
• empty: numpy.core.numeric.empty
• empty_like(): numpy.core.numeric.empty_like
• endifpattern: numpy.f2py.crackfortran.endifpattern
• endifs: numpy.f2py.crackfortran.endifs
• endpattern: numpy.f2py.crackfortran.endpattern
• entrypattern: numpy.f2py.crackfortran.entrypattern
• equal: numpy.core.ma.equal
• errmess: numpy.f2py.auxfuncs.errmess
• errmess: numpy.f2py.cb_rules.errmess
• errmess: numpy.f2py.cfuncs.errmess
• errmess: numpy.f2py.common_rules.errmess
• errmess: numpy.f2py.crackfortran.errmess
• errmess: numpy.f2py.f2py2e.errmess
• errmess: numpy.f2py.f90mod_rules.errmess
• errmess: numpy.f2py.func2subr.errmess
• errmess: numpy.f2py.rules.errmess
• errmess: numpy.f2py.use_rules.errmess
• exec_command(): numpy.distutils.exec_command.exec_command
• exp: numpy.core.ma.exp
• expand_dims(): numpy.lib.shape_base.expand_dims
• expand_sub(): numpy.distutils.conv_template.expand_sub
• expand_sub(): numpy.distutils.from_template.expand_sub
• expectbegin: numpy.f2py.crackfortran.expectbegin
• extend_all(): numpy.core.numeric.extend_all
• externalpattern: numpy.f2py.crackfortran.externalpattern
• extract(): numpy.lib.function_base.extract
• eye(): numpy.lib.twodim_base.eye

F

• f2cmap_all: numpy.f2py.capi_maps.f2cmap_all
• f2pyenhancementspattern: numpy.f2py.crackfortran.f2pyenhancementspattern
• f2py_version: numpy.f2py.auxfuncs.f2py_version
• f2py_version: numpy.f2py.capi_maps.f2py_version
• f2py_version: numpy.f2py.cb_rules.f2py_version
• f2py_version: numpy.f2py.cfuncs.f2py_version
• f2py_version: numpy.f2py.common_rules.f2py_version
• f2py_version: numpy.f2py.crackfortran.f2py_version
• f2py_version: numpy.f2py.f2py2e.f2py_version
• f2py_version: numpy.f2py.f90mod_rules.f2py_version
• f2py_version: numpy.f2py.func2subr.f2py_version
• f2py_version: numpy.f2py.rules.f2py_version
• f2py_version: numpy.f2py.use_rules.f2py_version
• f77modulename: numpy.f2py.crackfortran.f77modulename
• f90modhooks: numpy.f2py.cfuncs.f90modhooks
• f90modulevars: numpy.f2py.crackfortran.f90modulevars
• f90_ext_match: numpy.distutils.misc_util.f90_ext_match
• f90_module_name_match: numpy.distutils.misc_util.f90_module_name_match
• fabs: numpy.core.ma.fabs
• False_: numpy.core.numeric.False_
• fastCopyAndTranspose: numpy.core.numeric.fastCopyAndTranspose
• fcompiler_class: numpy.distutils.fcompiler.fcompiler_class
• fft(): numpy.dft.fftpack.fft
• fft: numpy.dual.fft
• fft2: numpy.dft.fftpack.fft2
• fft2: numpy.dual.fft2
• fft2d(): numpy.dft.fftpack.fft2d
• fftfreq(): numpy.dft.helper.fftfreq
• fftn: numpy.dft.fftpack.fftn
• fftn: numpy.dual.fftn
• fftnd(): numpy.dft.fftpack.fftnd
• fftshift(): numpy.dft.helper.fftshift
• fgetdims1: numpy.f2py.f90mod_rules.fgetdims1
• fgetdims2: numpy.f2py.f90mod_rules.fgetdims2
• fgetdims2_sa: numpy.f2py.f90mod_rules.fgetdims2_sa
• filepositiontext: numpy.f2py.crackfortran.filepositiontext
• filled(): numpy.core.ma.filled
• filter_files(): numpy.f2py.f2py2e.filter_files
• filter_sources(): numpy.distutils.misc_util.filter_sources
• findcommonblocks(): numpy.f2py.common_rules.findcommonblocks
• findf90modules(): numpy.f2py.f90mod_rules.findf90modules
• find_duplicate(): numpy.core.records.find_duplicate
• find_executable(): numpy.distutils.exec_command.find_executable
• find_repl_patterns(): numpy.distutils.from_template.find_repl_patterns
• fix(): numpy.lib.ufunclike.fix
• flatindex_re: numpy.lib.convertcode.flatindex_re
• flatiter: numpy.core.numeric.flatiter
• flatlist(): numpy.f2py.auxfuncs.flatlist
• fliplr(): numpy.lib.twodim_base.fliplr
• flipud(): numpy.lib.twodim_base.flipud
• Float: numpy.core.oldnumeric.Float
• Float0: numpy.core.oldnumeric.Float0
• Float16: numpy.core.oldnumeric.Float16
• Float32: numpy.core.oldnumeric.Float32
• Float64: numpy.core.oldnumeric.Float64
• Float8: numpy.core.oldnumeric.Float8
• floor: numpy.core.ma.floor
• floor_divide: numpy.core.ma.floor_divide
• fmod: numpy.core.ma.fmod
• formatpattern: numpy.f2py.crackfortran.formatpattern
• format_re: numpy.core._internal.format_re
• fortrantypes: numpy.f2py.crackfortran.fortrantypes
• fortran_ext_match: numpy.distutils.misc_util.fortran_ext_match
• fortran_pyf_ext_re: numpy.distutils.extension.fortran_pyf_ext_re
• fromargs(): numpy.lib.convertcode.fromargs
• fromarrays(): numpy.core.records.fromarrays
• frombuffer: numpy.core.numeric.frombuffer
• fromfile: numpy.core.numeric.fromfile
• fromfile(): numpy.core.records.fromfile
• fromfunction(): numpy.core.ma.fromfunction
• fromfunction(): numpy.core.numeric.fromfunction
• fromrecords(): numpy.core.records.fromrecords
• fromstr(): numpy.lib.convertcode.fromstr
• fromstring(): numpy.core.ma.fromstring
• fromstring: numpy.core.numeric.fromstring
• fromstring(): numpy.core.records.fromstring
• functionpattern: numpy.f2py.crackfortran.functionpattern
• function_start_re: numpy.distutils.from_template.function_start_re
• FUNC_RE: numpy.distutils.lib2def.FUNC_RE

G

• generalized_inverse(): numpy.linalg.linalg.generalized_inverse
• general_source_files(): numpy.distutils.misc_util.general_source_files
• generate_api(): numpy.core.generate_array_api.generate_api
• generate_config_py(): numpy.distutils.misc_util.generate_config_py
• generate_testcode(): numpy.core.setup.generate_testcode
• generic: numpy.core.numerictypes.generic
• genericTypeRank: numpy.core.numerictypes.genericTypeRank
• gentitle(): numpy.f2py.auxfuncs.gentitle
• gen_lib_options(): numpy.distutils.ccompiler.gen_lib_options
• getandcopy(): numpy.lib.convertcode.getandcopy
• getargs(): numpy.f2py.auxfuncs.getargs
• getargs2(): numpy.f2py.auxfuncs.getargs2
• getarrdims(): numpy.f2py.capi_maps.getarrdims
• getarrdocsign(): numpy.f2py.capi_maps.getarrdocsign
• getarrlen(): numpy.f2py.crackfortran.getarrlen
• getblockname(): numpy.f2py.crackfortran.getblockname
• getbuffer: numpy.core.numeric.getbuffer
• getbufsize(): numpy.core.numeric.getbufsize
• getcallprotoargument(): numpy.f2py.auxfuncs.getcallprotoargument
• getcallstatement(): numpy.f2py.auxfuncs.getcallstatement
• getctype(): numpy.f2py.capi_maps.getctype
• geterr(): numpy.core.numeric.geterr
• geterrcall(): numpy.core.numeric.geterrcall
• getextension(): numpy.f2py.crackfortran.getextension
• getfortranname(): numpy.f2py.auxfuncs.getfortranname
• getinit(): numpy.f2py.capi_maps.getinit
• getlincoef(): numpy.f2py.crackfortran.getlincoef
• getlincoef_re_1: numpy.f2py.crackfortran.getlincoef_re_1
• getmask(): numpy.core.ma.getmask
• getmaskarray(): numpy.core.ma.getmaskarray
• getmultilineblock(): numpy.f2py.auxfuncs.getmultilineblock
• getnm(): numpy.distutils.lib2def.getnm
• getpydocsign(): numpy.f2py.capi_maps.getpydocsign
• getpymethoddef(): numpy.f2py.auxfuncs.getpymethoddef
• getrestdoc(): numpy.f2py.auxfuncs.getrestdoc
• getstrlength(): numpy.f2py.capi_maps.getstrlength
• getusercode(): numpy.f2py.auxfuncs.getusercode
• getusercode1(): numpy.f2py.auxfuncs.getusercode1
• get_atlas_version(): numpy.distutils.system_info.get_atlas_version
• get_cmd(): numpy.distutils.misc_util.get_cmd
• get_data_files(): numpy.distutils.misc_util.get_data_files
• get_default_fcompiler(): numpy.distutils.fcompiler.get_default_fcompiler
• get_dependencies(): numpy.distutils.misc_util.get_dependencies
• get_ext_source_files(): numpy.distutils.misc_util.get_ext_source_files
• get_f2py_modulename(): numpy.distutils.command.build_src.get_f2py_modulename
• get_fill_value(): numpy.core.ma.get_fill_value
• get_frame(): numpy.distutils.misc_util.get_frame
• get_frame: numpy.testing.numpytest.get_frame
• get_info(): numpy.distutils.system_info.get_info
• get_info(): numpy.distutils.__config__.get_info
• get_info(): numpy.__config__.get_info
• get_kind(): numpy.f2py.auxfuncs.get_kind
• get_lib_source_files(): numpy.distutils.misc_util.get_lib_source_files
• get_linalg_funcs(): numpy.lib.polynomial.get_linalg_funcs
• get_line_header(): numpy.distutils.conv_template.get_line_header
• get_mathlibs(): numpy.distutils.misc_util.get_mathlibs
• get_needs(): numpy.f2py.cfuncs.get_needs
• get_numpy_include(): numpy.lib.utils.get_numpy_include
• get_numpy_include_dirs(): numpy.distutils.misc_util.get_numpy_include_dirs
• get_parameters(): numpy.f2py.crackfortran.get_parameters
• get_path(): numpy.distutils.misc_util.get_path
• get_prefix(): numpy.f2py.f2py2e.get_prefix
• get_printoptions(): numpy.core.arrayprint.get_printoptions
• get_pythonexe(): numpy.distutils.exec_command.get_pythonexe
• get_script_files(): numpy.distutils.misc_util.get_script_files
• get_sorted_names(): numpy.f2py.crackfortran.get_sorted_names
• get_standard_file(): numpy.distutils.system_info.get_standard_file
• get_swig_modulename(): numpy.distutils.command.build_src.get_swig_modulename
• get_swig_target(): numpy.distutils.command.build_src.get_swig_target
• get_usedict(): numpy.f2py.crackfortran.get_usedict
• get_useparameters(): numpy.f2py.crackfortran.get_useparameters
• global_symbols: numpy.core.info.global_symbols
• global_symbols: numpy.dft.info.global_symbols
• global_symbols: numpy.lib.info.global_symbols
• global_symbols: numpy.random.info.global_symbols
• global_symbols: numpy.testing.info.global_symbols
• gotnextfile: numpy.f2py.crackfortran.gotnextfile
• gradient(): numpy.lib.function_base.gradient
• greater: numpy.core.ma.greater
• greater_equal: numpy.core.ma.greater_equal
• groupbegins77: numpy.f2py.crackfortran.groupbegins77
• groupbegins90: numpy.f2py.crackfortran.groupbegins90
• groupcounter: numpy.f2py.crackfortran.groupcounter
• groupends: numpy.f2py.crackfortran.groupends
• grouplist: numpy.f2py.crackfortran.grouplist

H

• hamming(): numpy.lib.function_base.hamming
• hanning(): numpy.lib.function_base.hanning
• hasbody(): numpy.f2py.auxfuncs.hasbody
• hascallstatement(): numpy.f2py.auxfuncs.hascallstatement
• hascommon(): numpy.f2py.auxfuncs.hascommon
• hasexternals(): numpy.f2py.auxfuncs.hasexternals
• hasinitvalue(): numpy.f2py.auxfuncs.hasinitvalue
• hasinitvalueasstring(): numpy.f2py.auxfuncs.hasinitvalueasstring
• hasnote(): numpy.f2py.auxfuncs.hasnote
• hasresultnote(): numpy.f2py.auxfuncs.hasresultnote
• hasvariables(): numpy.f2py.auxfuncs.hasvariables
• has_cxx_sources(): numpy.distutils.misc_util.has_cxx_sources
• has_f90_header(): numpy.distutils.fcompiler.has_f90_header
• has_f_sources(): numpy.distutils.misc_util.has_f_sources
• Heigenvalues(): numpy.linalg.linalg.Heigenvalues
• Heigenvectors(): numpy.linalg.linalg.Heigenvectors
• hermite_fft(): numpy.dft.fftpack.hermite_fft
• hfft: numpy.dft.fftpack.hfft
• histogram(): numpy.lib.function_base.histogram
• hsplit(): numpy.lib.shape_base.hsplit
• hstack(): numpy.lib.shape_base.hstack
• hypot: numpy.core.ma.hypot
• h_template: numpy.core.generate_array_api.h_template

I

• i0(): numpy.lib.function_base.i0
• identity(): numpy.core.ma.identity
• identity(): numpy.core.numeric.identity
• ifft: numpy.dft.fftpack.ifft
• ifft: numpy.dual.ifft
• ifft2: numpy.dft.fftpack.ifft2
• ifft2: numpy.dual.ifft2
• ifftn: numpy.dft.fftpack.ifftn
• ifftn: numpy.dual.ifftn
• ifftshift(): numpy.dft.helper.ifftshift
• ignorecontains: numpy.f2py.crackfortran.ignorecontains
• ihfft: numpy.dft.fftpack.ihfft
• imag(): numpy.lib.type_check.imag
• implicitpattern: numpy.f2py.crackfortran.implicitpattern
• includes: numpy.f2py.cfuncs.includes
• includes0: numpy.f2py.cfuncs.includes0
• include_paths: numpy.f2py.crackfortran.include_paths
• include_src_re: numpy.distutils.conv_template.include_src_re
• include_src_re: numpy.distutils.from_template.include_src_re
• index_exp: numpy.lib.index_tricks.index_exp
• indices(): numpy.core.ma.indices
• indices(): numpy.core.numeric.indices
• inner: numpy.core.numeric.inner
• innerproduct(): numpy.core.ma.innerproduct
• innerproduct: numpy.core.oldnumeric.innerproduct
• insert(): numpy.lib.function_base.insert
• Int: numpy.core.oldnumeric.Int
• Int0: numpy.core.oldnumeric.Int0
• Int16: numpy.core.oldnumeric.Int16
• Int32: numpy.core.oldnumeric.Int32
• Int8: numpy.core.oldnumeric.Int8
• intentpattern: numpy.f2py.crackfortran.intentpattern
• intersect1d(): numpy.lib.arraysetops.intersect1d
• intersect1d_nu(): numpy.lib.arraysetops.intersect1d_nu
• intrisicpattern: numpy.f2py.crackfortran.intrisicpattern
• inv: numpy.dual.inv
• inv: numpy.linalg.linalg.inv
• invbadnames: numpy.f2py.crackfortran.invbadnames
• inverse(): numpy.linalg.linalg.inverse
• inverse_fft(): numpy.dft.fftpack.inverse_fft
• inverse_fft2d(): numpy.dft.fftpack.inverse_fft2d
• inverse_fftnd(): numpy.dft.fftpack.inverse_fftnd
• inverse_hermite_fft(): numpy.dft.fftpack.inverse_hermite_fft
• inverse_real_fft(): numpy.dft.fftpack.inverse_real_fft
• inverse_real_fft2d(): numpy.dft.fftpack.inverse_real_fft2d
• inverse_real_fftnd(): numpy.dft.fftpack.inverse_real_fftnd
• inv_language_map: numpy.distutils.system_info.inv_language_map
• irefft: numpy.dft.fftpack.irefft
• irefft2: numpy.dft.fftpack.irefft2
• irefftn: numpy.dft.fftpack.irefftn
• isallocatable(): numpy.f2py.auxfuncs.isallocatable
• isarray: numpy.core.ma.isarray
• isarray(): numpy.f2py.auxfuncs.isarray
• isarrayofstrings(): numpy.f2py.auxfuncs.isarrayofstrings
• ischaracter(): numpy.f2py.auxfuncs.ischaracter
• iscomplex(): numpy.f2py.auxfuncs.iscomplex
• iscomplex(): numpy.lib.type_check.iscomplex
• iscomplexarray(): numpy.f2py.auxfuncs.iscomplexarray
• iscomplexfunction(): numpy.f2py.auxfuncs.iscomplexfunction
• iscomplexfunction_warn(): numpy.f2py.auxfuncs.iscomplexfunction_warn
• iscomplexobj(): numpy.lib.type_check.iscomplexobj
• isdouble(): numpy.f2py.auxfuncs.isdouble
• isdummyroutine(): numpy.f2py.auxfuncs.isdummyroutine
• isexternal(): numpy.f2py.auxfuncs.isexternal
• isfalse(): numpy.f2py.auxfuncs.isfalse
• isfortran(): numpy.core.numeric.isfortran
• isfunction(): numpy.f2py.auxfuncs.isfunction
• isfunction_wrap(): numpy.f2py.auxfuncs.isfunction_wrap
• isint1array(): numpy.f2py.auxfuncs.isint1array
• isinteger(): numpy.f2py.auxfuncs.isinteger
• isintent_aux(): numpy.f2py.auxfuncs.isintent_aux
• isintent_c(): numpy.f2py.auxfuncs.isintent_c
• isintent_cache(): numpy.f2py.auxfuncs.isintent_cache
• isintent_callback(): numpy.f2py.auxfuncs.isintent_callback
• isintent_copy(): numpy.f2py.auxfuncs.isintent_copy
• isintent_dict: numpy.f2py.auxfuncs.isintent_dict
• isintent_hide(): numpy.f2py.auxfuncs.isintent_hide
• isintent_in(): numpy.f2py.auxfuncs.isintent_in
• isintent_inout(): numpy.f2py.auxfuncs.isintent_inout
• isintent_inplace(): numpy.f2py.auxfuncs.isintent_inplace
• isintent_nothide(): numpy.f2py.auxfuncs.isintent_nothide
• isintent_out(): numpy.f2py.auxfuncs.isintent_out
• isintent_overwrite(): numpy.f2py.auxfuncs.isintent_overwrite
• islogical(): numpy.f2py.auxfuncs.islogical
• islogicalfunction(): numpy.f2py.auxfuncs.islogicalfunction
• islong_complex(): numpy.f2py.auxfuncs.islong_complex
• islong_double(): numpy.f2py.auxfuncs.islong_double
• islong_doublefunction(): numpy.f2py.auxfuncs.islong_doublefunction
• islong_long(): numpy.f2py.auxfuncs.islong_long
• islong_longfunction(): numpy.f2py.auxfuncs.islong_longfunction
• isMA: numpy.core.ma.isMA
• isMaskedArray(): numpy.core.ma.isMaskedArray
• ismodule(): numpy.f2py.auxfuncs.ismodule
• ismoduleroutine(): numpy.f2py.auxfuncs.ismoduleroutine
• ismutable(): numpy.f2py.auxfuncs.ismutable
• isneginf(): numpy.lib.ufunclike.isneginf
• isoptional(): numpy.f2py.auxfuncs.isoptional
• isposinf(): numpy.lib.ufunclike.isposinf
• isprivate(): numpy.f2py.auxfuncs.isprivate
• isreal(): numpy.f2py.auxfuncs.isreal
• isreal(): numpy.lib.type_check.isreal
• isrealobj(): numpy.lib.type_check.isrealobj
• isrequired(): numpy.f2py.auxfuncs.isrequired
• isroutine(): numpy.f2py.auxfuncs.isroutine
• isscalar(): numpy.core.numeric.isscalar
• isscalar(): numpy.f2py.auxfuncs.isscalar
• issctype(): numpy.core.numerictypes.issctype
• isstring(): numpy.f2py.auxfuncs.isstring
• isstringarray(): numpy.f2py.auxfuncs.isstringarray
• isstringfunction(): numpy.f2py.auxfuncs.isstringfunction
• issubclass_(): numpy.lib.utils.issubclass_
• issubroutine(): numpy.f2py.auxfuncs.issubroutine
• issubsctype(): numpy.lib.utils.issubsctype
• isthreadsafe(): numpy.f2py.auxfuncs.isthreadsafe
• istrue(): numpy.f2py.auxfuncs.istrue
• isunsigned(): numpy.f2py.auxfuncs.isunsigned
• isunsignedarray(): numpy.f2py.auxfuncs.isunsignedarray
• isunsigned_char(): numpy.f2py.auxfuncs.isunsigned_char
• isunsigned_chararray(): numpy.f2py.auxfuncs.isunsigned_chararray
• isunsigned_long_long(): numpy.f2py.auxfuncs.isunsigned_long_long
• isunsigned_long_longarray(): numpy.f2py.auxfuncs.isunsigned_long_longarray
• isunsigned_short(): numpy.f2py.auxfuncs.isunsigned_short
• isunsigned_shortarray(): numpy.f2py.auxfuncs.isunsigned_shortarray
• is_free_format(): numpy.distutils.fcompiler.is_free_format
• is_free_format(): numpy.f2py.crackfortran.is_free_format
• is_f_file: numpy.distutils.fcompiler.is_f_file
• is_f_file: numpy.f2py.crackfortran.is_f_file
• is_local_src_dir(): numpy.distutils.misc_util.is_local_src_dir
• is_mask(): numpy.core.ma.is_mask
• is_sequence(): numpy.distutils.misc_util.is_sequence
• is_string(): numpy.distutils.misc_util.is_string
• item_re: numpy.distutils.from_template.item_re
• iterable(): numpy.lib.function_base.iterable
• ix_(): numpy.lib.index_tricks.ix_

K

• kaiser(): numpy.lib.function_base.kaiser
• kindselector: numpy.f2py.crackfortran.kindselector
• kron(): numpy.lib.shape_base.kron

L

• language_map: numpy.distutils.system_info.language_map
• lapack_mkl_info: numpy.distutils.__config__.lapack_mkl_info
• lapack_mkl_info: numpy.__config__.lapack_mkl_info
• lapack_opt_info: numpy.distutils.__config__.lapack_opt_info
• lapack_opt_info: numpy.__config__.lapack_opt_info
• lcb2_map: numpy.f2py.capi_maps.lcb2_map
• lcb_map: numpy.f2py.capi_maps.lcb_map
• left_shift(): numpy.core.ma.left_shift
• lenarraypattern: numpy.f2py.crackfortran.lenarraypattern
• lenkindpattern: numpy.f2py.crackfortran.lenkindpattern
• less: numpy.core.ma.less
• less_equal: numpy.core.ma.less_equal
• lexsort: numpy.core.numeric.lexsort
• linear_least_squares(): numpy.linalg.linalg.linear_least_squares
• linspace(): numpy.lib.function_base.linspace
• list_re: numpy.distutils.from_template.list_re
• LittleEndian: numpy.core.oldnumeric.LittleEndian
• little_endian: numpy.core.numeric.little_endian
• load(): numpy.core.numeric.load
• log: numpy.core.ma.log
• log(): numpy.lib.scimath.log
• log10: numpy.core.ma.log10
• log10(): numpy.lib.scimath.log10
• log2(): numpy.lib.scimath.log2
• log2(): numpy.lib.ufunclike.log2
• logical_and: numpy.core.ma.logical_and
• logical_not: numpy.core.ma.logical_not
• logical_or: numpy.core.ma.logical_or
• logical_xor: numpy.core.ma.logical_xor
• logn(): numpy.lib.scimath.logn
• logspace(): numpy.lib.function_base.logspace
• lstsq: numpy.dual.lstsq
• lstsq: numpy.lib.polynomial.lstsq
• lstsq: numpy.linalg.linalg.lstsq
• l_and(): numpy.f2py.auxfuncs.l_and
• l_not(): numpy.f2py.auxfuncs.l_not
• l_or(): numpy.f2py.auxfuncs.l_or

M

• main(): numpy.f2py.f2py2e.main
• main: numpy.f2py.main
• major: numpy.distutils.__version__.major
• major: numpy.f2py.__version__.major
• makemat: numpy.lib.index_tricks.makemat
• makenewfile(): numpy.lib.convertcode.makenewfile
• make_mask(): numpy.core.ma.make_mask
• make_mask_none(): numpy.core.ma.make_mask_none
• markinnerspaces(): numpy.f2py.crackfortran.markinnerspaces
• markoutercomma(): numpy.f2py.crackfortran.markoutercomma
• markouterparen(): numpy.f2py.crackfortran.markouterparen
• masked: numpy.core.ma.masked
• masked_array(): numpy.core.ma.masked_array
• masked_equal(): numpy.core.ma.masked_equal
• masked_greater(): numpy.core.ma.masked_greater
• masked_greater_equal(): numpy.core.ma.masked_greater_equal
• masked_inside(): numpy.core.ma.masked_inside
• masked_less(): numpy.core.ma.masked_less
• masked_less_equal(): numpy.core.ma.masked_less_equal
• masked_not_equal(): numpy.core.ma.masked_not_equal
• masked_object(): numpy.core.ma.masked_object
• masked_outside(): numpy.core.ma.masked_outside
• masked_print_option: numpy.core.ma.masked_print_option
• masked_values(): numpy.core.ma.masked_values
• masked_where(): numpy.core.ma.masked_where
• MaskType: numpy.core.ma.MaskType
• mask_or(): numpy.core.ma.mask_or
• mat: numpy.core.defmatrix.mat
• matrixmultiply: numpy.core.oldnumeric.matrixmultiply
• maximum: numpy.core.ma.maximum
• maximum_fill_value(): numpy.core.ma.maximum_fill_value
• maximum_sctype(): numpy.core.numerictypes.maximum_sctype
• mean(): numpy.core.oldnumeric.mean
• median(): numpy.lib.function_base.median
• mgrid: numpy.lib.index_tricks.mgrid
• micro: numpy.distutils.__version__.micro
• mingw32(): numpy.distutils.misc_util.mingw32
• minimum: numpy.core.ma.minimum
• minimum_fill_value(): numpy.core.ma.minimum_fill_value
• minor: numpy.distutils.__version__.minor
• minrelpath(): numpy.distutils.misc_util.minrelpath
• mintypecode(): numpy.lib.type_check.mintypecode
• mkl_info: numpy.distutils.__config__.mkl_info
• mkl_info: numpy.__config__.mkl_info
• mode_equivalents: numpy.core.memmap.mode_equivalents
• modsign2map(): numpy.f2py.capi_maps.modsign2map
• module_rules: numpy.f2py.rules.module_rules
• msort(): numpy.lib.function_base.msort
• multilinepattern: numpy.f2py.crackfortran.multilinepattern
• multiply: numpy.core.ma.multiply
• myeval(): numpy.f2py.crackfortran.myeval

N

• nameargspattern: numpy.f2py.crackfortran.nameargspattern
• named_re: numpy.distutils.conv_template.named_re
• named_re: numpy.distutils.from_template.named_re
• namepattern: numpy.f2py.crackfortran.namepattern
• namerepl(): numpy.distutils.conv_template.namerepl
• nanargmax(): numpy.lib.function_base.nanargmax
• nanargmin(): numpy.lib.function_base.nanargmin
• nanmax(): numpy.lib.function_base.nanmax
• nanmin(): numpy.lib.function_base.nanmin
• nansum(): numpy.lib.function_base.nansum
• nan_to_num(): numpy.lib.type_check.nan_to_num
• nbytes: numpy.core.numerictypes.nbytes
• ndarray: numpy.core.numeric.ndarray
• ndim(): numpy.core.oldnumeric.ndim
• neededmodule: numpy.f2py.crackfortran.neededmodule
• needs: numpy.f2py.cfuncs.needs
• negative: numpy.core.ma.negative
• newaxis: numpy.core.numeric.newaxis
• NewAxis: numpy.core.oldnumeric.NewAxis
• newbuffer: numpy.core.numeric.newbuffer
• new_compiler(): numpy.distutils.ccompiler.new_compiler
• new_fcompiler(): numpy.distutils.fcompiler.new_fcompiler
• njoin(): numpy.distutils.misc_util.njoin
• nomask: numpy.core.ma.nomask
• nonzero(): numpy.core.ma.nonzero
• nonzero(): numpy.core.oldnumeric.nonzero
• not_equal: numpy.core.ma.not_equal
• not_implemented(): numpy.core.ma.not_implemented
• numfmt: numpy.core.records.numfmt
• numpy_cmdclass: numpy.distutils.core.numpy_cmdclass

O

• obj2sctype(): numpy.core.numerictypes.obj2sctype
• ogrid: numpy.lib.index_tricks.ogrid
• ones(): numpy.core.ma.ones
• ones(): numpy.core.numeric.ones
• onlyfuncs: numpy.f2py.crackfortran.onlyfuncs
• optionalpattern: numpy.f2py.crackfortran.optionalpattern
• options: numpy.f2py.auxfuncs.options
• options: numpy.f2py.f90mod_rules.options
• options: numpy.f2py.rules.options
• outer(): numpy.core.numeric.outer
• outerproduct(): numpy.core.ma.outerproduct
• outerproduct: numpy.core.oldnumeric.outerproduct
• outmess(): numpy.f2py.auxfuncs.outmess
• outmess: numpy.f2py.cb_rules.outmess
• outmess: numpy.f2py.common_rules.outmess
• outmess(): numpy.f2py.crackfortran.outmess
• outmess: numpy.f2py.f2py2e.outmess
• outmess: numpy.f2py.f90mod_rules.outmess
• outmess: numpy.f2py.func2subr.outmess
• outmess: numpy.f2py.rules.outmess
• outmess: numpy.f2py.use_rules.outmess
• outneeds: numpy.f2py.cfuncs.outneeds
• output_def(): numpy.distutils.lib2def.output_def
• output_exception(): numpy.testing.numpytest.output_exception

P

• parameterpattern: numpy.f2py.crackfortran.parameterpattern
• parenrep: numpy.distutils.conv_template.parenrep
• paren_repl(): numpy.distutils.conv_template.paren_repl
• parse_cmd(): numpy.distutils.lib2def.parse_cmd
• parse_nm(): numpy.distutils.lib2def.parse_nm
• parse_structure(): numpy.distutils.conv_template.parse_structure
• parse_structure(): numpy.distutils.from_template.parse_structure
• piecewise(): numpy.lib.function_base.piecewise
• pinv: numpy.dual.pinv
• pinv: numpy.linalg.linalg.pinv
• plainrep: numpy.distutils.conv_template.plainrep
• poly(): numpy.lib.polynomial.poly
• polyadd(): numpy.lib.polynomial.polyadd
• polyder(): numpy.lib.polynomial.polyder
• polydiv(): numpy.lib.polynomial.polydiv
• polyfit(): numpy.lib.polynomial.polyfit
• polyint(): numpy.lib.polynomial.polyint
• polymul(): numpy.lib.polynomial.polymul
• polysub(): numpy.lib.polynomial.polysub
• polyval(): numpy.lib.polynomial.polyval
• postcrack(): numpy.f2py.crackfortran.postcrack
• postcrack2(): numpy.f2py.crackfortran.postcrack2
• postpone_import: numpy.distutils.info.postpone_import
• postpone_import: numpy.f2py.info.postpone_import
• power(): numpy.core.ma.power
• power(): numpy.lib.scimath.power
• previous_context: numpy.f2py.crackfortran.previous_context
• privatepattern: numpy.f2py.crackfortran.privatepattern
• process_file(): numpy.distutils.conv_template.process_file
• process_file(): numpy.distutils.from_template.process_file
• process_str(): numpy.distutils.conv_template.process_str
• process_str(): numpy.distutils.from_template.process_str
• prod(): numpy.core.oldnumeric.prod
• product(): numpy.core.arrayprint.product
• product: numpy.core.ma.product
• product(): numpy.core.oldnumeric.product
• ptp(): numpy.core.oldnumeric.ptp
• publicpattern: numpy.f2py.crackfortran.publicpattern
• put(): numpy.core.ma.put
• put(): numpy.core.oldnumeric.put
• putmask(): numpy.core.ma.putmask
• putmask(): numpy.core.oldnumeric.putmask
• pyffilename: numpy.f2py.crackfortran.pyffilename
• PyObject: numpy.core.oldnumeric.PyObject
• py_ver: numpy.distutils.lib2def.py_ver

Q

• quiet: numpy.f2py.crackfortran.quiet
• quote_arg(): numpy.distutils.exec_command.quote_arg

R

• rand(): numpy.testing.utils.rand
• rank(): numpy.core.ma.rank
• rank(): numpy.core.oldnumeric.rank
• ravel(): numpy.core.ma.ravel
• ravel(): numpy.core.oldnumeric.ravel
• readfortrancode(): numpy.f2py.crackfortran.readfortrancode
• real(): numpy.lib.type_check.real
• real16pattern: numpy.f2py.crackfortran.real16pattern
• real8pattern: numpy.f2py.crackfortran.real8pattern
• real_fft(): numpy.dft.fftpack.real_fft
• real_fft2d(): numpy.dft.fftpack.real_fft2d
• real_fftnd(): numpy.dft.fftpack.real_fftnd
• real_if_close(): numpy.lib.type_check.real_if_close
• refft: numpy.dft.fftpack.refft
• refft2: numpy.dft.fftpack.refft2
• refftn: numpy.dft.fftpack.refftn
• register_dtype: numpy.core.numeric.register_dtype
• register_func(): numpy.dual.register_func
• remainder: numpy.core.ma.remainder
• removespaces(): numpy.f2py.crackfortran.removespaces
• repeat(): numpy.core.ma.repeat
• repeat(): numpy.core.oldnumeric.repeat
• replace(): numpy.f2py.auxfuncs.replace
• replaceattr(): numpy.lib.convertcode.replaceattr
• replaceother(): numpy.lib.convertcode.replaceother
• replacetypechars(): numpy.lib.convertcode.replacetypechars
• repmat(): numpy.lib.shape_base.repmat
• requiredpattern: numpy.f2py.crackfortran.requiredpattern
• reshape(): numpy.core.ma.reshape
• reshape(): numpy.core.oldnumeric.reshape
• resize(): numpy.core.ma.resize
• resize(): numpy.core.oldnumeric.resize
• resolve_includes(): numpy.distutils.conv_template.resolve_includes
• resolve_includes(): numpy.distutils.from_template.resolve_includes
• restore_all(): numpy.dual.restore_all
• restore_func(): numpy.dual.restore_func
• restore_path(): numpy.testing.numpytest.restore_path
• right_shift(): numpy.core.ma.right_shift
• rmbadname(): numpy.f2py.crackfortran.rmbadname
• rmbadname1(): numpy.f2py.crackfortran.rmbadname1
• roots(): numpy.lib.polynomial.roots
• rot90(): numpy.lib.twodim_base.rot90
• round_(): numpy.core.oldnumeric.round_
• routine_end_re: numpy.distutils.from_template.routine_end_re
• routine_rules: numpy.f2py.rules.routine_rules
• routine_start_re: numpy.distutils.from_template.routine_start_re
• routsign2map(): numpy.f2py.capi_maps.routsign2map
• rout_rules: numpy.f2py.rules.rout_rules
• run(): numpy.f2py.diagnose.run
• run(): numpy.f2py.f2py_testing.run
• runstring(): numpy.testing.utils.runstring
• run_command(): numpy.f2py.diagnose.run_command
• run_compile(): numpy.f2py.f2py2e.run_compile
• run_main(): numpy.f2py.f2py2e.run_main
• run_main: numpy.f2py.run_main
• r_: numpy.lib.index_tricks.r_

S

• sarray(): numpy.core.oldnumeric.sarray
• ScalarType: numpy.core.numerictypes.ScalarType
• ScalarType: numpy.core.numerictypes.ScalarType
• scaninputline(): numpy.f2py.f2py2e.scaninputline
• ScipyTest: numpy.testing.numpytest.ScipyTest
• ScipyTestCase: numpy.testing.numpytest.ScipyTestCase
• sctype2char(): numpy.core.numerictypes.sctype2char
• sctypes: numpy.core.numerictypes.sctypes
• searchsorted(): numpy.core.oldnumeric.searchsorted
• select(): numpy.lib.function_base.select
• selectpattern: numpy.f2py.crackfortran.selectpattern
• sepdict: numpy.f2py.rules.sepdict
• setattrspec(): numpy.f2py.crackfortran.setattrspec
• setbufsize(): numpy.core.numeric.setbufsize
• setcharselector(): numpy.f2py.crackfortran.setcharselector
• setdiff1d(): numpy.lib.arraysetops.setdiff1d
• seterr(): numpy.core.numeric.seterr
• seterrcall(): numpy.core.numeric.seterrcall
• setkindselector(): numpy.f2py.crackfortran.setkindselector
• setmember1d(): numpy.lib.arraysetops.setmember1d
• setmesstext(): numpy.f2py.crackfortran.setmesstext
• setup(): numpy.distutils.core.setup
• setxor1d(): numpy.lib.arraysetops.setxor1d
• set_fill_value(): numpy.core.ma.set_fill_value
• set_local_path(): numpy.testing.numpytest.set_local_path
• set_numeric_ops: numpy.core.numeric.set_numeric_ops
• set_package_path(): numpy.testing.numpytest.set_package_path
• set_printoptions(): numpy.core.arrayprint.set_printoptions
• set_string_function: numpy.core.numeric.set_string_function
• set_verbosity(): numpy.distutils.log.set_verbosity
• shape(): numpy.core.ma.shape
• shape(): numpy.core.oldnumeric.shape
• show(): numpy.distutils.__config__.show
• show: numpy.f2py.auxfuncs.show
• show: numpy.f2py.cb_rules.show
• show: numpy.f2py.common_rules.show
• show(): numpy.f2py.crackfortran.show
• show: numpy.f2py.f2py2e.show
• show: numpy.f2py.f90mod_rules.show
• show: numpy.f2py.func2subr.show
• show: numpy.f2py.rules.show
• show: numpy.f2py.use_rules.show
• show(): numpy.__config__.show
• show_all(): numpy.distutils.system_info.show_all
• show_fcompilers(): numpy.distutils.fcompiler.show_fcompilers
• sign2map(): numpy.f2py.capi_maps.sign2map
• sin: numpy.core.ma.sin
• sinc(): numpy.lib.function_base.sinc
• singular_value_decomposition(): numpy.linalg.linalg.singular_value_decomposition
• sinh: numpy.core.ma.sinh
• size(): numpy.core.ma.size
• size(): numpy.core.oldnumeric.size
• skipblocksuntil: numpy.f2py.crackfortran.skipblocksuntil
• skipemptyends: numpy.f2py.crackfortran.skipemptyends
• skipfuncs: numpy.f2py.crackfortran.skipfuncs
• skipfunctions: numpy.f2py.crackfortran.skipfunctions
• solve: numpy.dual.solve
• solve: numpy.linalg.linalg.solve
• solve_linear_equations(): numpy.linalg.linalg.solve_linear_equations
• sometrue: numpy.core.ma.sometrue
• sometrue(): numpy.core.oldnumeric.sometrue
• sort(): numpy.core.ma.sort
• sort(): numpy.core.oldnumeric.sort
• sortvarnames(): numpy.f2py.crackfortran.sortvarnames
• sort_complex(): numpy.lib.function_base.sort_complex
• sourcecodeform: numpy.f2py.crackfortran.sourcecodeform
• so_ext: numpy.distutils.system_info.so_ext
• split(): numpy.lib.shape_base.split
• splitcmdline(): numpy.distutils.exec_command.splitcmdline
• split_quoted(): numpy.distutils.ccompiler.split_quoted
• sqrt: numpy.core.ma.sqrt
• sqrt(): numpy.lib.scimath.sqrt
• squeeze(): numpy.core.oldnumeric.squeeze
• std(): numpy.core.oldnumeric.std
• stnd: numpy.f2py.rules.stnd
• strictf77: numpy.f2py.crackfortran.strictf77
• stripcomma(): numpy.f2py.auxfuncs.stripcomma
• subroutinepattern: numpy.f2py.crackfortran.subroutinepattern
• subtract: numpy.core.ma.subtract
• sum: numpy.core.ma.sum
• sum(): numpy.core.oldnumeric.sum
• svd: numpy.dual.svd
• svd(): numpy.linalg.linalg.svd
• svn_version_file: numpy.version.svn_version_file
• svspc: numpy.lib.convertcode.svspc
• svspc2: numpy.lib.convertcode.svspc2
• svspc3: numpy.lib.convertcode.svspc3
• swapaxes(): numpy.core.oldnumeric.swapaxes

T

• tabchar: numpy.f2py.crackfortran.tabchar
• take(): numpy.core.ma.take
• take(): numpy.core.oldnumeric.take
• tan: numpy.core.ma.tan
• tanh: numpy.core.ma.tanh
• template_name_re: numpy.distutils.from_template.template_name_re
• template_re: numpy.distutils.conv_template.template_re
• template_re: numpy.distutils.from_template.template_re
• terminal_has_colors(): numpy.distutils.misc_util.terminal_has_colors
• test(): numpy.core.test
• test(): numpy.dft.test
• test(): numpy.lib.test
• test(): numpy.linalg.test
• test(): numpy.random.test
• testcode_mathlib(): numpy.core.setup.testcode_mathlib
• testcode_wincrypt(): numpy.random.setup.testcode_wincrypt
• test_cl(): numpy.distutils.exec_command.test_cl
• test_execute_in(): numpy.distutils.exec_command.test_execute_in
• test_nt(): numpy.distutils.exec_command.test_nt
• test_posix(): numpy.distutils.exec_command.test_posix
• test_splitcmdline(): numpy.distutils.exec_command.test_splitcmdline
• test_svn(): numpy.distutils.exec_command.test_svn
• test_unique1d_speed(): numpy.lib.arraysetops.test_unique1d_speed
• trace(): numpy.core.oldnumeric.trace
• transpose(): numpy.core.ma.transpose
• transpose(): numpy.core.oldnumeric.transpose
• trapz(): numpy.lib.function_base.trapz
• tri(): numpy.lib.twodim_base.tri
• tril(): numpy.lib.twodim_base.tril
• trim_zeros(): numpy.lib.function_base.trim_zeros
• triu(): numpy.lib.twodim_base.triu
• True_: numpy.core.numeric.True_
• true_divide: numpy.core.ma.true_divide
• true_intent_list(): numpy.f2py.crackfortran.true_intent_list
• typecodes: numpy.core.oldnumeric.typecodes
• typedefs: numpy.f2py.cfuncs.typedefs
• typedefs_generated: numpy.f2py.cfuncs.typedefs_generated
• typedef_need_dict: numpy.f2py.rules.typedef_need_dict
• typeDict: numpy.core.numerictypes.typeDict
• typeNA: numpy.core.numerictypes.typeNA
• typename(): numpy.lib.type_check.typename
• types: numpy.core.generate_array_api.types
• typespattern: numpy.f2py.crackfortran.typespattern
• typespattern4implicit: numpy.f2py.crackfortran.typespattern4implicit

U

• ufunc: numpy.core.numeric.ufunc
• UFuncType: numpy.core.oldnumeric.UFuncType
• UfuncType: numpy.core.oldnumeric.UfuncType
• ufunc_domain: numpy.core.ma.ufunc_domain
• ufunc_fills: numpy.core.ma.ufunc_fills
• UInt16: numpy.core.oldnumeric.UInt16
• UInt32: numpy.core.oldnumeric.UInt32
• UInt8: numpy.core.oldnumeric.UInt8
• undo_rmbadname(): numpy.f2py.crackfortran.undo_rmbadname
• undo_rmbadname1(): numpy.f2py.crackfortran.undo_rmbadname1
• union1d(): numpy.lib.arraysetops.union1d
• unique(): numpy.lib.function_base.unique
• unique1d(): numpy.lib.arraysetops.unique1d
• unique_key(): numpy.distutils.conv_template.unique_key
• unique_key(): numpy.distutils.from_template.unique_key
• unix2dos(): numpy.distutils.line_endings.unix2dos
• unix2dos_dir(): numpy.distutils.line_endings.unix2dos_dir
• unix2dos_one_dir(): numpy.distutils.line_endings.unix2dos_one_dir
• UnixCCompiler__compile(): numpy.distutils.unixccompiler.UnixCCompiler__compile
• UnixCCompile_create_static_lib(): numpy.distutils.unixccompiler.UnixCCompile_create_static_lib
• unmarkouterparen(): numpy.f2py.crackfortran.unmarkouterparen
• UnsignedInt: numpy.core.oldnumeric.UnsignedInt
• UnsignedInt16: numpy.core.oldnumeric.UnsignedInt16
• UnsignedInt32: numpy.core.oldnumeric.UnsignedInt32
• UnsignedInt8: numpy.core.oldnumeric.UnsignedInt8
• UnsignedInteger: numpy.core.oldnumeric.UnsignedInteger
• unwrap(): numpy.lib.function_base.unwrap
• updatevars(): numpy.f2py.crackfortran.updatevars
• use2fortran(): numpy.f2py.crackfortran.use2fortran
• usemodule_rules: numpy.f2py.use_rules.usemodule_rules
• usepattern: numpy.f2py.crackfortran.usepattern
• userincludes: numpy.f2py.cfuncs.userincludes
• usermodules: numpy.f2py.crackfortran.usermodules
• using_newcore: numpy.f2py.capi_maps.using_newcore

V

• valid_filemodes: numpy.core.memmap.valid_filemodes
• vander(): numpy.lib.twodim_base.vander
• var(): numpy.core.oldnumeric.var
• var2fixfortran(): numpy.f2py.func2subr.var2fixfortran
• vars2fortran(): numpy.f2py.crackfortran.vars2fortran
• vdot(): numpy.core.numeric.vdot
• verbose: numpy.f2py.crackfortran.verbose
• version: numpy.core.__svn_version__.version
• version: numpy.distutils.__version__.version
• version: numpy.f2py.__svn_version__.version
• version: numpy.version.version
• void: numpy.core.numerictypes.void
• vsplit(): numpy.lib.shape_base.vsplit
• vstack(): numpy.lib.shape_base.vstack

W

• where(): numpy.core.ma.where
• where: numpy.core.numeric.where
• word_pattern: numpy.f2py.crackfortran.word_pattern
• wrapfuncs: numpy.f2py.auxfuncs.wrapfuncs
• writeable_filemodes: numpy.core.memmap.writeable_filemodes

Z

• zeros(): numpy.core.ma.zeros
• zeros: numpy.core.numeric.zeros
• zeros_like(): numpy.core.numeric.zeros_like

_

• __RandomState_ctor(): numpy.random.__RandomState_ctor